← Authors

Fernando Pereira

34 papers · 2003–2021 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion (2) 🌱 Topic Pioneer 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (80) πŸ’Ž Century Club (34) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8)

Conferences

ACL (7) EMNLP (7) NIPS (7) CONLL (4) JMLR (3) NAACL (2) AISTATS (1) COLING (1) CVPR (1) EACL (1)

Top co-authors

Koby Crammer (7) Ryan Mcdonald (7) Mark Dredze (7) John Blitzer (6) Partha Pratim Talukdar (5) Amarnag Subramanya (5) Kuzman Ganchev (4) João Graça (3) William W. Cohen (3) Alex Kulesza (3)

Keywords

online learning (3) confidence-weighted learning (3) convex optimization (2) gaussian distribution (2) learning bound (2) empirical risk minimization (2) linear classifier (2) domain adaptation (2) approximate inference (1) structured prediction (1) dimensionality reduction (1) sparse coding (1) sparse representation (1) perceptron (1) visual representation (1) image classification (1) unsupervised tagging (1) face recognition (1) transfer learning (1) question answering (1)

Papers

Multi-Perspective LSTM for Joint Visual Representation Learning CVPR 2021
Faithful Embeddings for Knowledge Base Queries NIPS 2020
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World NAACL 2018
Collective Entity Resolution with Multi-Focal Attention ACL 2016
Confidence-Weighted Linear Classification for Text Categorization JMLR 2012
Reading The Web with Learned Syntactic-Semantic Inference Rules CONLL 2012
Reading The Web with Learned Syntactic-Semantic Inference Rules EMNLP 2012
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models ACL 2011
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models EMNLP 2010
Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition ACL 2010
Sparsity in Dependency Grammar Induction ACL 2010
Group Sparse Coding NIPS 2009
Posterior vs Parameter Sparsity in Latent Variable Models NIPS 2009
Exact Convex Confidence-Weighted Learning NIPS 2008
Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks EMNLP 2008
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis COLING 2008
Frustratingly Hard Domain Adaptation for Dependency Parsing CONLL 2007
Frustratingly Hard Domain Adaptation for Dependency Parsing EMNLP 2007
The Need for Open Source Software in Machine Learning JMLR 2007
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification ACL 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Structured Learning with Approximate Inference NIPS 2007
Learning Bounds for Domain Adaptation NIPS 2007
Multilingual Dependency Analysis with a Two-Stage Discriminative Parser CONLL 2006
A Context Pattern Induction Method for Named Entity Extraction CONLL 2006
Analysis of Representations for Domain Adaptation NIPS 2006
Online Learning of Approximate Dependency Parsing Algorithms EACL 2006
Domain Adaptation with Structural Correspondence Learning EMNLP 2006
Flexible Text Segmentation with Structured Multilabel Classification EMNLP 2005
Non-Projective Dependency Parsing using Spanning Tree Algorithms EMNLP 2005
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE ACL 2005
Online Large-Margin Training of Dependency Parsers ACL 2005
Shallow Parsing with Conditional Random Fields NAACL 2003